Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "66"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 66 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 45 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 43 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 66, Node N03:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459860 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.366695 1.024235 1.215642 0.197529 -0.150214 0.123361 -0.217309 0.925649 0.7190 0.6879 0.4140 nan nan
2459859 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.297964 0.580560 0.703762 0.762632 -0.474861 1.225816 -0.302858 1.541903 0.7258 0.6939 0.4054 nan nan
2459858 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.335546 5.576407 1.102822 0.856391 0.191036 1.960810 -0.161652 1.312138 0.6796 0.6507 0.3983 2.781927 2.413641
2459857 digital_ok 100.00% 100.00% 100.00% 0.00% - - 13.810116 11.370614 4.316254 3.410482 10.365606 4.408113 7.641017 12.965069 0.0222 0.0223 0.0003 nan nan
2459856 digital_ok 0.00% 0.00% 0.00% 0.00% 3.43% 0.57% 0.680562 1.667983 0.327800 0.118056 0.173344 -0.184740 -0.684607 2.223085 0.7268 0.7144 0.4039 1.633942 1.488764
2459855 digital_ok 0.00% 0.00% 0.00% 0.00% 4.58% 0.00% 0.426879 1.726831 0.764003 -0.159714 1.883220 -0.260250 -0.474965 0.581087 0.7096 0.7312 0.4343 1.671364 1.454142
2459854 digital_ok 0.00% 0.00% 0.00% 0.00% 8.93% 0.00% 0.229829 1.756626 0.253109 -0.388482 1.260359 -0.065324 -0.291711 1.339571 0.7228 0.7480 0.4430 1.656487 1.419558
2459853 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.411780 1.319160 0.339961 -0.541229 0.584651 0.046763 -0.415615 2.045726 0.7497 0.7061 0.4239 1.757247 1.500345
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 0.54% 1.425655 0.189018 1.297147 -0.635562 1.731441 -0.028741 1.068658 -0.849472 0.8293 0.8400 0.2455 2.911738 3.116370
2459851 digital_ok 0.00% 0.00% 0.00% 0.00% 11.76% 0.00% 0.760308 1.708326 0.626757 -0.263845 -0.268790 0.821808 -0.666738 0.906455 0.7668 0.7581 0.3436 1.475416 1.428654
2459850 digital_ok 0.00% 0.00% 0.00% 0.00% 18.02% 0.00% 0.423727 1.903279 0.310877 -0.340983 0.384609 -0.867530 -0.499859 1.416286 0.7485 0.7687 0.3628 1.662230 1.396480
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% 0.719815 2.659970 -0.409305 -0.164041 1.600886 0.745678 -0.364080 2.372809 0.7476 0.7604 0.3667 1.508056 1.406733
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 30.15% 0.00% 1.123736 2.206189 -0.985534 1.709172 0.178443 -0.196639 -0.536614 1.721658 0.7253 0.7593 0.3923 1.354773 1.291827
2459847 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.170577 2.451512 -0.250378 1.434724 4.455473 -0.719775 -0.637685 0.088817 0.7376 0.7029 0.4290 3.514081 3.299473
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% 1.030988 1.562907 -0.026830 0.903306 1.263748 0.288532 0.011499 0.996411 0.8460 0.6957 0.4728 1.569642 1.407474
2459845 digital_ok 0.00% 0.00% 0.00% 0.00% 16.02% 83.98% 1.931345 3.103888 -0.492395 1.811661 2.664914 0.451592 -0.668933 0.331688 0.7357 0.7556 0.3781 4.539539 6.671874
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - 32.436641 23.227586 22.521189 21.918292 8.401513 5.221339 9.165380 15.188162 0.0221 0.0216 0.0004 nan nan
2459843 digital_ok 0.00% 0.66% 0.66% 0.00% 16.30% 0.00% 0.665943 3.121541 0.526941 0.843845 1.445980 1.433840 -0.438823 2.541452 0.7490 0.7576 0.3820 1.832510 1.674130
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 65.646825 47.254281 14.995430 13.405704 6.342115 6.390632 14.500856 19.054897 0.0196 0.0198 0.0004 nan nan
2459839 digital_ok 100.00% - - - - - 16.764180 11.636731 35.746582 32.440256 2.178643 2.818910 19.400324 27.104094 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 239.584135 239.688580 inf inf 11664.605066 11706.093746 7714.235927 7791.778639 nan nan nan 0.000000 0.000000
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0316 0.0312 0.0020 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.529995 -0.495363 1.902543 -0.877460 23.767892 22.906235 97.885564 87.500123 0.0314 0.0308 0.0020 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 6.500193 4.264227 1.238807 0.574219 52.208257 45.172192 127.426395 125.682570 0.0242 0.0243 0.0006 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.881605 1.119455 0.093297 0.313249 1.736729 0.427030 -0.450379 0.372458 0.8143 0.5599 0.5563 1.784596 1.731096
2459831 digital_ok 100.00% 100.00% 100.00% 0.00% - - 17.203616 11.955180 38.812345 35.366557 3.272949 3.526635 14.361110 18.851245 0.0203 0.0205 0.0004 nan nan
2459830 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.755648 1.246778 -0.668566 0.509119 0.950649 2.194637 -0.261617 2.055243 0.8150 0.5797 0.5287 1.782928 1.487410
2459829 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.043141 3.293751 -0.546713 1.136572 0.869699 2.313590 0.972199 5.673217 0.7705 0.6910 0.3871 13.949290 11.799677
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.028892 1.388962 -0.732024 0.965504 0.087055 2.203386 0.276269 7.849303 0.8122 0.5840 0.5176 5.702732 5.630875
2459827 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.171244 2.380105 -0.683454 1.267503 -0.115912 2.089667 -0.708239 0.844789 0.7718 0.6958 0.3901 1.576940 1.300739
2459826 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.525870 0.931245 -0.612794 0.532906 0.546839 1.499041 -0.466711 2.233071 0.8065 0.5918 0.5011 1.513045 1.115815
2459825 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.103509 0.669220 -0.206301 0.636361 0.100534 1.863076 -0.802195 -0.318218 0.8095 0.6103 0.4958 2.111676 1.613448
2459824 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.163962 1.503208 0.676358 1.062148 0.844831 -0.135968 -0.347990 1.101498 0.7387 0.7572 0.3439 2.188693 2.265444
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.569572 -0.191054 -0.559088 0.204140 1.210198 0.117794 0.691408 5.543695 0.7797 0.6758 0.4365 10.286593 12.268885
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.996567 0.552257 -0.837092 0.703444 -0.120824 2.659143 0.157757 0.682587 0.8070 0.6287 0.4844 1.871528 1.522775
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.825096 -0.129023 -0.859593 0.413597 0.007015 1.447572 -0.579707 0.256273 0.8030 0.6437 0.4935 1.881384 1.543367
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.158825 2.024507 -0.783751 1.121316 1.029734 7.149627 -0.073956 3.383468 0.7801 0.7118 0.4039 4.674860 5.020066
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.067456 -0.348731 -0.878149 0.469787 0.071250 1.850125 -0.362911 0.516614 0.8128 0.6783 0.4862 1.884697 1.695681
2459816 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.390019 -0.242433 -0.403591 0.335547 1.696799 1.313180 -0.334758 2.702845 0.8090 0.6936 0.4921 1.664877 1.424915
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.711806 2.955822 -0.895085 0.333988 1.398184 6.037809 0.783219 6.873374 0.8043 0.7587 0.3778 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 66: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Power 1.215642 0.366695 1.024235 1.215642 0.197529 -0.150214 0.123361 -0.217309 0.925649

Antenna 66: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 1.541903 0.297964 0.580560 0.703762 0.762632 -0.474861 1.225816 -0.302858 1.541903

Antenna 66: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Shape 6.335546 5.576407 6.335546 0.856391 1.102822 1.960810 0.191036 1.312138 -0.161652

Antenna 66: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Shape 13.810116 11.370614 13.810116 3.410482 4.316254 4.408113 10.365606 12.965069 7.641017

Antenna 66: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 2.223085 0.680562 1.667983 0.327800 0.118056 0.173344 -0.184740 -0.684607 2.223085

Antenna 66: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Temporal Variability 1.883220 1.726831 0.426879 -0.159714 0.764003 -0.260250 1.883220 0.581087 -0.474965

Antenna 66: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 1.756626 1.756626 0.229829 -0.388482 0.253109 -0.065324 1.260359 1.339571 -0.291711

Antenna 66: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 2.045726 1.319160 0.411780 -0.541229 0.339961 0.046763 0.584651 2.045726 -0.415615

Antenna 66: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Temporal Variability 1.731441 1.425655 0.189018 1.297147 -0.635562 1.731441 -0.028741 1.068658 -0.849472

Antenna 66: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 1.708326 0.760308 1.708326 0.626757 -0.263845 -0.268790 0.821808 -0.666738 0.906455

Antenna 66: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 1.903279 0.423727 1.903279 0.310877 -0.340983 0.384609 -0.867530 -0.499859 1.416286

Antenna 66: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 2.659970 0.719815 2.659970 -0.409305 -0.164041 1.600886 0.745678 -0.364080 2.372809

Antenna 66: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 2.206189 2.206189 1.123736 1.709172 -0.985534 -0.196639 0.178443 1.721658 -0.536614

Antenna 66: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Temporal Variability 4.455473 2.451512 1.170577 1.434724 -0.250378 -0.719775 4.455473 0.088817 -0.637685

Antenna 66: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 1.562907 1.030988 1.562907 -0.026830 0.903306 1.263748 0.288532 0.011499 0.996411

Antenna 66: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 3.103888 3.103888 1.931345 1.811661 -0.492395 0.451592 2.664914 0.331688 -0.668933

Antenna 66: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Shape 32.436641 32.436641 23.227586 22.521189 21.918292 8.401513 5.221339 9.165380 15.188162

Antenna 66: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 3.121541 3.121541 0.665943 0.843845 0.526941 1.433840 1.445980 2.541452 -0.438823

Antenna 66: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Shape 65.646825 65.646825 47.254281 14.995430 13.405704 6.342115 6.390632 14.500856 19.054897

Antenna 66: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Power 35.746582 11.636731 16.764180 32.440256 35.746582 2.818910 2.178643 27.104094 19.400324

Antenna 66: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Power inf 239.688580 239.584135 inf inf 11706.093746 11664.605066 7791.778639 7714.235927

Antenna 66: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Temporal Discontinuties 97.885564 -0.495363 0.529995 -0.877460 1.902543 22.906235 23.767892 87.500123 97.885564

Antenna 66: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Temporal Discontinuties 127.426395 4.264227 6.500193 0.574219 1.238807 45.172192 52.208257 125.682570 127.426395

Antenna 66: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Shape 1.881605 1.881605 1.119455 0.093297 0.313249 1.736729 0.427030 -0.450379 0.372458

Antenna 66: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok ee Power 38.812345 17.203616 11.955180 38.812345 35.366557 3.272949 3.526635 14.361110 18.851245

Antenna 66: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Variability 2.194637 1.755648 1.246778 -0.668566 0.509119 0.950649 2.194637 -0.261617 2.055243

Antenna 66: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 5.673217 3.293751 3.043141 1.136572 -0.546713 2.313590 0.869699 5.673217 0.972199

Antenna 66: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 7.849303 1.388962 2.028892 0.965504 -0.732024 2.203386 0.087055 7.849303 0.276269

Antenna 66: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 2.380105 2.171244 2.380105 -0.683454 1.267503 -0.115912 2.089667 -0.708239 0.844789

Antenna 66: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 2.233071 0.931245 1.525870 0.532906 -0.612794 1.499041 0.546839 2.233071 -0.466711

Antenna 66: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Variability 1.863076 0.669220 1.103509 0.636361 -0.206301 1.863076 0.100534 -0.318218 -0.802195

Antenna 66: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape 1.503208 1.163962 1.503208 0.676358 1.062148 0.844831 -0.135968 -0.347990 1.101498

Antenna 66: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 5.543695 -0.191054 0.569572 0.204140 -0.559088 0.117794 1.210198 5.543695 0.691408

Antenna 66: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Variability 2.659143 0.996567 0.552257 -0.837092 0.703444 -0.120824 2.659143 0.157757 0.682587

Antenna 66: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Variability 1.447572 -0.129023 0.825096 0.413597 -0.859593 1.447572 0.007015 0.256273 -0.579707

Antenna 66: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Variability 7.149627 2.158825 2.024507 -0.783751 1.121316 1.029734 7.149627 -0.073956 3.383468

Antenna 66: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Variability 1.850125 0.067456 -0.348731 -0.878149 0.469787 0.071250 1.850125 -0.362911 0.516614

Antenna 66: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 66: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 2.702845 -0.242433 0.390019 0.335547 -0.403591 1.313180 1.696799 2.702845 -0.334758

Antenna 66: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 66: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
66 N03 digital_ok nn Temporal Discontinuties 6.873374 2.955822 2.711806 0.333988 -0.895085 6.037809 1.398184 6.873374 0.783219
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